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Table 7 Significant associations in correlative analysis

From: A survey of Sub-Saharan African medical schools

Outcome variable Observed range of variable Statistically significant predictors Effect size 95% Confidence intervals P-Value
# of Graduates 4 to 384 Public ownership of medical achool
Total number of teaching staff
Advanced ICT score
64
0.068
3.9
27 to 102
0.00042 to 0.14
0.72 to 7.2
P = 0.0011
P = 0.049
P = 0.017
% of Teaching Staff Positions Vacant 0% to 86% GDP per capita (in USD, log scale)
Public ownership of medical school
-9.8%
16%
-17% to -3.0%
4.0% to 28%
P = 0.0035
P = 0.0092
% of Faculty Involved in Research (by quartile: 0-1%, 1.6-5%, 10%-15%, 20%-100%) 1-4 Strengthened institutional research tools
Provision of funded research time
English as a language of instruction
Arabic as a language of instruction
0.90
0.51
0.58
-0.81
0.45 to 1.35
0.022 to 1.0
0.067 to 1.6
-1.6 to-0.011
P = 0.00015
P = 0.049
P = 0.027
P = 0.047
% Gross Faculty Loss over Past Five Years 0% to 61% Raising salaries/providing bonuses named as innovation -7.4% -13% to -1.3% P = 0.018
# of PGME programs (by tercile: 0, 1-5, or 6+) 1-3 Age of medical school (in years)
From southern Africa
Having faculty in research
0.017
0.64
0.61
0.0085 to 0.025
0.064 to 1.2
0.16 to 1.0
P = 0.00090
P = 0.030
P = 0.0082
Use of TBL, PBL, CBL Ordinal variables, range 1-4 Preclinical years: TBL-PBL
Preclinical years: CBL-PBL
Preclinical years: TBL-CBL
Clinical years: TBL-CBL
Clinical years: TBL-PBL
Chi squared test does not yield effect size.
All associations seen were positive.
P < 0.0001
P < 0.0001
P < 0.0001
P < 0.0001
P = 0.00026
% of Graduates Preferring Practice as Rural General Practitioners 5 Years out 0% to 42.7% Existence of a compulsory service programs
Moderate number of PGME programs
French as a language of instruction)
7.1%
12%
9.8%
0.12% to 14%
4.5% to 19%
1.8% to 18%
P = 0.039
P = 0.016
P = 0.016
% of Graduates Preferring Practice as Any General Practitioner 5 Years Out 0% to 100% French as a language of instruction 22% 6.1% to 37% P = 0.0070
Total Number of Medical Schools in a Country 0 to 29 Population of country (millions)
Total land mass of country (millions of km2)
0.13
4.3
0.095 to 0.17
2.6 to 6.0
P < 0.0001
P < 0.0001